Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Deontic Policies for Runtime Governance of Agentic AI Systems
arXiv:2606.19464v1 Announce Type: new Abstract: Autonomous agentic AI systems driven by Large Language Models (LLMs) introduce a new class of…
TRAP: Benchmark for Task-completion and Resistance to Active Privacy-extraction
arXiv:2606.18996v2 Announce Type: replace-cross Abstract: Agents are increasingly deployed in document-intensive workflows where sensitive private information is not an edge…
Neural Additive and Basis Models with Feature Selection and Interactions
arXiv:2606.19850v1 Announce Type: cross Abstract: Deep neural networks (DNNs) exhibit attractive performance in various fields but often suffer from low…
When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning
arXiv:2606.19827v1 Announce Type: cross Abstract: Medical tabular data are ubiquitous in clinical research, but deep learning for tables remains underexplored…
Reinforcement Learning Foundation Models Should Already Be A Thing
arXiv:2606.18812v2 Announce Type: replace-cross Abstract: Foundation models for language and vision are powered by internet-scale data, while structured domains such…
NAVI-Orbital: First In-Orbit Demonstration of a Zero-Shot Vision-Language Model for Autonomous Earth Observation
arXiv:2606.18271v1 Announce Type: new Abstract: As Earth Observation data generation outpaces downlink bandwidth and human-in-the-loop processing, a widening gap has…
Enhancing Pathological VLMs with Cross-scale Reasoning
arXiv:2606.17412v2 Announce Type: replace-cross Abstract: Pathological images are inherently multi-scale, requiring pathologists to integrate evidence from global tissue architecture at…
Where Did the Variability Go? From Vibe Coding to Product Lines by Regeneration
arXiv:2606.19042v1 Announce Type: cross Abstract: In vibe coding, an emerging AI-driven paradigm, an LLM generates an entire program from a…
A Hybrid LSTM–Vision Transformer Architecture for Predicting HRRR Forecast Errors
arXiv:2606.19026v1 Announce Type: cross Abstract: Forecast errors in high-resolution numerical weather prediction (NWP) systems are often linked to unresolved planetary…
Calibrated Sampling-Free Uncertainty Estimation in Bayesian Deep Learning
arXiv:2606.16214v2 Announce Type: replace-cross Abstract: Modern deep learning models remain notoriously prone to overconfidence, limiting their reliability in high-stakes applications.…
